Finding Your Way To R
We think R is a great place to start your data science journey because it is an environment designed for data science. R is not just a programming language, but it is also an interactive ecosystem including a runtime, libraries, development environments, and extensions. All these features help you think about problems as a data scientist, while supporting fluent interaction between your brain and the computer.
However, after more than 25 years of development, the R ecosystem can seem overwhelming to newcomers. Whether you are just beginning R or have many years of data science experience, R offers a plethora of choice. Yet, when RStudio asks students about their biggest challenges in learning R, respondents overwhelmingly answer that survey question with another question: where should they begin?
Most journeys begin with a map. Here’s ours:
We have created three tracks to help learners navigate the R ecosystem. These tracks are not meant to be exhaustive, but instead are designed to help you become productive in the minimum amount of time, based on your experience level.
Choose your learning path